Description
Mobile robots require the facility to make decisions such as “go in the course of the hedges” or “go across the brick wall.” Mobile Robot Navigation with Intelligent Infrared Image Interpretation describes in detail a substitute for GPS navigation: a physics-based totally adaptive Bayesian pattern classification model that uses a passive thermal infrared imaging system to robotically characterize non-warmth generating objects in unstructured out of doors environments for mobile robots. The resulting classification model complements an autonomous robot’s situational awareness by providing the facility to classify smaller structures repeatedly found within the immediate operational environment.